|
|
Absolute deviation, 绝对离差
6 p" b3 o- g8 H' S! AAbsolute number, 绝对数
. e) q( g% X# [2 _/ g( [Absolute residuals, 绝对残差# l/ L" G! o: v, `
Acceleration array, 加速度立体阵
" ^2 r( R) Z. fAcceleration in an arbitrary direction, 任意方向上的加速度
0 s& t% B/ f3 \9 E! o5 E6 G2 WAcceleration normal, 法向加速度6 v& V) |5 S3 o5 B6 v
Acceleration space dimension, 加速度空间的维数+ O3 i, O# o" H, F5 }# I
Acceleration tangential, 切向加速度) C N" s: G2 o
Acceleration vector, 加速度向量
8 S7 Q2 ]8 g8 K8 c" tAcceptable hypothesis, 可接受假设$ P8 g7 ]6 I. t
Accumulation, 累积5 p& ?, ?/ J: f5 Y) K- P/ l- [
Accuracy, 准确度
, Z/ K5 N" I+ G3 I. F* z: dActual frequency, 实际频数
2 Z; _5 Z3 W+ r O( G. k# pAdaptive estimator, 自适应估计量2 G$ l/ k0 E% g$ ?. ]8 ~$ R$ \! z
Addition, 相加8 T5 x$ x* Y! l0 S* s4 r" N# @9 ?
Addition theorem, 加法定理
0 z0 k7 i+ {" G; O" }$ eAdditivity, 可加性# Y5 _ s" _# [5 C8 |& U: S# C
Adjusted rate, 调整率
* ?: q6 X. _0 z7 r3 r% j( @Adjusted value, 校正值) N9 N3 G+ y8 B, h4 e! D4 E5 X
Admissible error, 容许误差
% p& [" s5 \2 AAggregation, 聚集性
& {/ F. V- `0 X9 z/ QAlternative hypothesis, 备择假设
+ G5 \6 l- M& H+ W1 uAmong groups, 组间
! T1 y; Y8 A1 v; QAmounts, 总量
) R& T l$ W% q7 H0 X6 @Analysis of correlation, 相关分析
# Q) q# L0 \% u" H% ~" PAnalysis of covariance, 协方差分析2 j: q# }/ e% P7 r
Analysis of regression, 回归分析
z) \, {2 D" K7 Y* C, K$ _. cAnalysis of time series, 时间序列分析! G. V0 J4 k) O# T m2 D* |
Analysis of variance, 方差分析: i; O+ Z+ j( H* B& E
Angular transformation, 角转换
; \ D8 Q1 f% l# iANOVA （analysis of variance）, 方差分析; E8 R5 j$ d1 E
ANOVA Models, 方差分析模型
6 H8 G5 ]+ l: B; }) NArcing, 弧/弧旋. Q% _1 O M/ W4 J" w
Arcsine transformation, 反正弦变换3 s) e7 [1 T. s; ?. L, M
Area under the curve, 曲线面积8 M6 V3 Y$ n! S; }6 b* Q6 ~! @
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
0 |. j- x I" p0 L+ P- e9 tARIMA, 季节和非季节性单变量模型的极大似然估计 ) s }. u+ R) j$ L5 s/ T8 ]- }
Arithmetic grid paper, 算术格纸3 a8 V1 _' _9 ]) H- T6 ]
Arithmetic mean, 算术平均数3 X3 t& N' s8 l" Y& _
Arrhenius relation, 艾恩尼斯关系( X# O2 @' ]4 p6 g$ I- Z& q9 y
Assessing fit, 拟合的评估3 c/ V7 c' t2 c) K8 T8 _8 ~
Associative laws, 结合律
4 \' ?; M; y" w y( RAsymmetric distribution, 非对称分布3 _0 ~* |+ P4 r7 m: R6 C+ P h* |
Asymptotic bias, 渐近偏倚
& j& U, K7 d' Y* PAsymptotic efficiency, 渐近效率
( h; a& T- s3 S: zAsymptotic variance, 渐近方差
1 j2 c$ k; d$ V0 h1 m& N: KAttributable risk, 归因危险度
$ o5 N, ]$ g, V" Q; MAttribute data, 属性资料% s: u' }8 t& |5 A. \3 g6 O2 w
Attribution, 属性% G3 ]1 ]+ L+ M0 P3 x$ c3 p: P% w/ e
Autocorrelation, 自相关8 `- c8 c" I- |
Autocorrelation of residuals, 残差的自相关
{* L2 w# F" x; x; gAverage, 平均数' D( X( N# f% ?0 X
Average confidence interval length, 平均置信区间长度0 l* O' m0 |( T* }
Average growth rate, 平均增长率7 x1 o& B% ]( x4 Y
Bar chart, 条形图
( `( {$ R7 {- W" Y+ g8 X$ E; _Bar graph, 条形图7 r |: I: W- D }8 B' \* W
Base period, 基期
7 {! N3 a/ m6 V: D5 P* CBayes' theorem , Bayes定理. x1 G, S5 @- [6 U
Bell-shaped curve, 钟形曲线
* d, }* ]7 x$ S2 \* ^4 d; oBernoulli distribution, 伯努力分布4 ]3 R" U' g6 E1 S
Best-trim estimator, 最好切尾估计量# I3 F' c4 @8 [& P% s
Bias, 偏性
) R: F. E0 B0 X, n( O+ l9 qBinary logistic regression, 二元逻辑斯蒂回归
: M* F' U# B+ {8 A+ ~" ZBinomial distribution, 二项分布- ?2 t% p4 y! ]
Bisquare, 双平方& O! t, ^ M0 U+ S
Bivariate Correlate, 二变量相关
( n0 Z% v& S! LBivariate normal distribution, 双变量正态分布. _! j5 ~/ |! \+ j( u! m3 t Z% o* i
Bivariate normal population, 双变量正态总体, y, {8 a2 I9 I8 @* \: I( s/ y
Biweight interval, 双权区间
& H$ M; ]' ~$ p: S8 W" mBiweight M-estimator, 双权M估计量6 o3 \( l4 d9 `9 A
Block, 区组/配伍组' f$ W2 Y4 s4 g$ P
BMDP(Biomedical computer programs), BMDP统计软件包 R6 e) ?. x* j( T' n" _# p) W
Boxplots, 箱线图/箱尾图' j- P4 r# T+ P2 p) B ]3 H
Breakdown bound, 崩溃界/崩溃点6 Y% v5 Z- P" R* o9 x
Canonical correlation, 典型相关% e" \) @9 n6 S9 O
Caption, 纵标目5 h1 [4 O* x/ j3 o
Case-control study, 病例对照研究' K9 ~* Q+ r8 S. @/ w( j
Categorical variable, 分类变量$ H; n6 d1 S4 \6 Q/ P
Catenary, 悬链线
+ z' s' r; X7 Q) B' XCauchy distribution, 柯西分布
! f0 ~8 x) u. w4 U( ~+ z7 J2 ^* WCause-and-effect relationship, 因果关系2 X+ w% R2 b4 q' C
Cell, 单元
, H' C) p# q; C. M) z& gCensoring, 终检6 P# B1 {4 F0 J. s% A8 }; X& T4 C
Center of symmetry, 对称中心7 W' E8 w1 o) C
Centering and scaling, 中心化和定标
, |8 }. R' O9 N2 oCentral tendency, 集中趋势
& j8 p7 o& ~5 l, E; V8 B4 t LCentral value, 中心值: N: b' L! p: @$ E5 l) @
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
2 r0 Q2 ^8 b& z. j& ?4 D' {" ]: eChance, 机遇3 q' r& O1 ^7 R8 z0 |
Chance error, 随机误差, ]& Z9 W( z; ], s
Chance variable, 随机变量; ?1 F: B; }/ ^, ]0 l r9 r
Characteristic equation, 特征方程% L$ O9 U, h# z
Characteristic root, 特征根
& ]% q* u* I. _ U3 R8 k7 z. oCharacteristic vector, 特征向量
5 ^8 E( ]0 M e- N9 N* A3 g& gChebshev criterion of fit, 拟合的切比雪夫准则
2 W- _* E0 w' n X+ @ y, bChernoff faces, 切尔诺夫脸谱图 n3 y. k' f+ t" e f5 T( H0 C0 A" X
Chi-square test, 卡方检验/χ2检验
7 k- T7 W. v! t( G/ |6 T- |1 ECholeskey decomposition, 乔洛斯基分解
5 r. K/ [0 z% V. m% dCircle chart, 圆图 3 j9 }1 V5 ^9 r2 }% y9 L
Class interval, 组距
- g2 \. Z& f+ h% L! B6 q1 |9 QClass mid-value, 组中值
% [8 z# B1 K2 n2 UClass upper limit, 组上限/ }* G/ @( o( ~0 m! B4 q) e% R
Classified variable, 分类变量! w, g. [( M# w& e* r7 @
Cluster analysis, 聚类分析
' r! [4 d/ C2 I3 y! WCluster sampling, 整群抽样# u# Y6 F' r- z& i# P
Code, 代码
* }7 `2 Q9 V2 [" M# ^. hCoded data, 编码数据
& y2 W$ d' R8 oCoding, 编码
" l2 @! H3 r- ?$ a9 }Coefficient of contingency, 列联系数& B" f2 W( }0 i k/ A, y; Z5 }
Coefficient of determination, 决定系数
. \" _: ?/ y. w$ n# {7 m' w0 \Coefficient of multiple correlation, 多重相关系数
7 e b& g: \+ ]/ W. e/ \Coefficient of partial correlation, 偏相关系数
: } A4 I; y) b1 M5 \' S+ ECoefficient of production-moment correlation, 积差相关系数
9 T T% s2 [* P b& A6 }4 B2 \Coefficient of rank correlation, 等级相关系数
. ]" g$ C2 ^4 \) WCoefficient of regression, 回归系数
2 h; |& d: }( g4 Q' h# K- I+ xCoefficient of skewness, 偏度系数
, G+ G$ \7 A, V# k; O& TCoefficient of variation, 变异系数
) p" r* x* B' l" j; E8 eCohort study, 队列研究% C/ Q1 K% l* t7 i# A# o
Column, 列 _! ~8 s, e4 R% q' Q
Column effect, 列效应7 B7 r; M' P" i: }9 N% C
Column factor, 列因素
+ Q* E+ o% c4 H1 H# yCombination pool, 合并: Y/ O+ N, D! p+ H2 q
Combinative table, 组合表* u* F6 C# J+ J5 q
Common factor, 共性因子 @' {% ^. ?0 E3 F3 k* _
Common regression coefficient, 公共回归系数: j i8 V7 J3 I( F4 p ?7 R
Common value, 共同值
6 T% E/ O5 Y( m. ~# { n6 O% {5 ECommon variance, 公共方差
8 J! i4 W( }: a( C/ [2 d" VCommon variation, 公共变异
) G/ O0 m0 t) I2 w4 g. HCommunality variance, 共性方差, E+ T' g' o l
Comparability, 可比性8 X7 s! |, a* D5 ] y
Comparison of bathes, 批比较0 t& C$ r6 O! [. X
Comparison value, 比较值: V/ y& r4 ] `
Compartment model, 分部模型
% l5 Z0 W4 ^) fCompassion, 伸缩# K% w* p5 W# E7 i% s
Complement of an event, 补事件
/ c: F1 y4 F3 b4 d. {! RComplete association, 完全正相关
$ ?0 c; o8 T! {$ J( Y9 sComplete dissociation, 完全不相关; S. O3 G8 f2 J
Complete statistics, 完备统计量' M: A; l- l* K! W
Completely randomized design, 完全随机化设计
( c+ Z8 s1 T8 Q4 c4 {Composite event, 联合事件$ z* x. b/ R" {+ Z
Composite events, 复合事件) t! `; @" p' `: \: a9 U& m: T5 V
Concavity, 凹性
- m' `5 D) Y7 N; E4 C/ d BConditional expectation, 条件期望) V: R6 O& {* h% c$ \
Conditional likelihood, 条件似然3 b( B5 j/ k0 ]: c. a2 o
Conditional probability, 条件概率
9 j: I$ `2 `9 g0 HConditionally linear, 依条件线性1 W8 r' P& `( X4 r
Confidence interval, 置信区间
: R" E5 |0 U# S: g% \, ~- r- rConfidence limit, 置信限
' R4 U: V9 ]! {% T& aConfidence lower limit, 置信下限
) y( K( t* s4 o) B1 zConfidence upper limit, 置信上限. K# ~# x& ^6 \) J
Confirmatory Factor Analysis , 验证性因子分析
6 o; ^9 V: |. T" \Confirmatory research, 证实性实验研究
# ?/ u/ {# ~5 N( n$ XConfounding factor, 混杂因素
8 G- t' O* j9 N2 G5 k$ YConjoint, 联合分析8 a b$ n n! Y# T
Consistency, 相合性
0 R; t7 D, U$ Y: ^Consistency check, 一致性检验
6 z Y. F' @0 \7 uConsistent asymptotically normal estimate, 相合渐近正态估计( J* z, \- G. X! Y; ]. E& `
Consistent estimate, 相合估计0 n* u6 a- E, V# P
Constrained nonlinear regression, 受约束非线性回归
0 |1 R9 l; g3 M9 W" XConstraint, 约束" b2 J" n5 \3 ]! \) i
Contaminated distribution, 污染分布4 M: O5 X6 d" c# f4 U' \0 R
Contaminated Gausssian, 污染高斯分布
. G& }4 ]5 M2 j; n8 D6 ZContaminated normal distribution, 污染正态分布! k( Z1 W! i$ l. I/ ?3 I6 P
Contamination, 污染
9 h9 X1 [. v! Z. `, {Contamination model, 污染模型" \5 A6 k' x% C$ ~* _
Contingency table, 列联表" V6 s0 g) X! C. f# P2 A/ r L% |; q% j
Contour, 边界线
8 `% E' T4 K- A! h3 i- d2 L% S/ rContribution rate, 贡献率& G! t: ~, _2 O
Control, 对照
$ d0 e$ x1 b l- Y' PControlled experiments, 对照实验
1 S7 [% I# D5 L$ ^9 yConventional depth, 常规深度1 s" E+ _; s: e; e2 [
Convolution, 卷积$ @) j- T" [0 k( O6 c4 H5 J' E
Corrected factor, 校正因子
# U- k' b5 Z7 w7 H* vCorrected mean, 校正均值
* d$ A6 ?- b3 P$ L4 v0 ~( U3 t5 a$ U, \Correction coefficient, 校正系数
! P# m0 n7 Q t2 BCorrectness, 正确性, }. @/ U" m& X* L: V+ |
Correlation coefficient, 相关系数
, ^/ Y. n5 C1 }( _* o/ O9 BCorrelation index, 相关指数6 y- [& g! S; J
Correspondence, 对应* F- V; c) ] c8 n0 @9 K& H. O
Counting, 计数4 s D, l. t- h7 i H
Counts, 计数/频数3 k. a5 o* G& l( y; f/ I5 S
Covariance, 协方差
0 y' V: ]1 J; z2 O7 ACovariant, 共变 6 o2 t5 a* c5 @5 E4 Y( W
Cox Regression, Cox回归0 F3 r- a* |1 W8 e: Y" j
Criteria for fitting, 拟合准则
1 R" |, I( W' Q9 d; u7 eCriteria of least squares, 最小二乘准则
8 X( D; _8 M) s) O4 {6 |Critical ratio, 临界比+ r8 H1 q3 t1 |) a( R3 X( f9 ^
Critical region, 拒绝域
+ z5 r: d' L( u7 |Critical value, 临界值
0 x0 @! d& m6 U( tCross-over design, 交叉设计3 z5 C$ b6 Q9 ^! M# }
Cross-section analysis, 横断面分析% e# ~! P, o3 S! s" b6 R& G
Cross-section survey, 横断面调查4 E) _0 u5 s- z1 l* ~2 m
Crosstabs , 交叉表
, e0 y0 F3 t0 L' `: OCross-tabulation table, 复合表 o4 @; Z6 w1 t5 W( }
Cube root, 立方根4 G3 Z0 H: [% f
Cumulative distribution function, 分布函数
$ ^( W! W6 `4 q Q4 a; H. k! CCumulative probability, 累计概率
8 X4 X& O' o' W. ]9 uCurvature, 曲率/弯曲0 Q% E) `/ i# K
Curvature, 曲率6 }: ` @7 W1 n4 l- `/ r. @; L" }
Curve fit , 曲线拟和 ) _/ G2 l1 j* {9 T& }: m0 @
Curve fitting, 曲线拟合
5 R! f# S9 O' M, ?3 _Curvilinear regression, 曲线回归
# L" g* N' p! V$ PCurvilinear relation, 曲线关系: k! J, L8 [; I! _5 W$ n
Cut-and-try method, 尝试法0 t+ _6 J- s; O, s( e! q4 A+ a, e1 I( Y% k/ W
Cycle, 周期
7 V; s+ d; M7 B9 ZCyclist, 周期性9 B/ q% Q L3 S, l0 S- e
D test, D检验: @; h. }1 ?! g! d
Data acquisition, 资料收集( \+ Y# [7 Z% ^+ Z( B" ~ H
Data bank, 数据库( M( X. G& O" F% S6 |$ C) a
Data capacity, 数据容量0 R2 E( _3 ]3 n# e2 _0 m
Data deficiencies, 数据缺乏
U- k9 l. ^; |- D4 ~0 iData handling, 数据处理/ X8 L/ ?$ o2 d: ]1 i
Data manipulation, 数据处理" W9 a- m5 s# t( [) u/ x# r3 S
Data processing, 数据处理
4 c4 @0 K, n; X& KData reduction, 数据缩减/ @% w- c* X, M( l: r+ L; C
Data set, 数据集! \' F- c# Z/ x+ A2 t
Data sources, 数据来源/ m e( c4 Z, B- H9 D4 d
Data transformation, 数据变换0 D4 y4 r5 X0 @: E- p# y+ g+ N
Data validity, 数据有效性& {8 \+ m) g" j5 l
Data-in, 数据输入" C* r/ x6 E! B3 R2 f" E. C: v
Data-out, 数据输出! b: e$ X' `' H+ ~% V; J* T
Dead time, 停滞期
+ q0 n& d5 d% [) _/ NDegree of freedom, 自由度9 v+ G6 m6 B: @7 M
Degree of precision, 精密度
8 J# R' `5 U- c; rDegree of reliability, 可靠性程度
& m$ C \. r" A+ oDegression, 递减
# E( |' Z" M! l& {4 Q, |; @" @Density function, 密度函数
2 W; h! |" S( u3 `2 e: G$ zDensity of data points, 数据点的密度- W) u+ P, G: r2 \' a) a, j$ l: r
Dependent variable, 应变量/依变量/因变量, Q$ }: }% o: d2 z3 @8 k3 m
Dependent variable, 因变量1 ~, A7 I) O$ Y9 }( g
Depth, 深度/ L U/ D& y4 p& s! T$ H
Derivative matrix, 导数矩阵
; Y& A! K4 P1 W2 lDerivative-free methods, 无导数方法
! B9 E- \0 k' }. t: |, e( lDesign, 设计% }- k- A+ b# C
Determinacy, 确定性
: K# c! s: J2 B! |4 K1 IDeterminant, 行列式
! Y7 \6 `$ @6 h! P" a+ K0 S' lDeterminant, 决定因素
& F; R8 u4 a" e8 L' e) _Deviation, 离差, ]1 D' t0 G1 a1 C1 F- b3 N9 _
Deviation from average, 离均差
|3 p- T- _( F! L( k, \6 L3 ^Diagnostic plot, 诊断图
! c' ^% T+ h# @* c& ?0 XDichotomous variable, 二分变量3 m- |7 W# }% w4 B: x3 o5 M
Differential equation, 微分方程
8 |5 K1 D+ f9 U, iDirect standardization, 直接标准化法8 l) w- w6 G1 F k
Discrete variable, 离散型变量
, U- ~: V# K0 }6 p8 JDISCRIMINANT, 判断
8 i' `; Y: s% ~1 L- Y0 m3 B# WDiscriminant analysis, 判别分析
+ H1 h0 r0 \* M, w# lDiscriminant coefficient, 判别系数* ?3 m$ F0 v/ k4 Y
Discriminant function, 判别值' C, y& c1 ^, B" U" M, e
Dispersion, 散布/分散度
9 ]$ F$ i6 V* n4 P) ]0 ADisproportional, 不成比例的& N6 p) Z+ H% f- g0 d
Disproportionate sub-class numbers, 不成比例次级组含量1 s9 d6 S/ |8 P
Distribution free, 分布无关性/免分布
- T. Z) c8 \; F3 V4 L NDistribution shape, 分布形状
' L" p: w3 Y( A% J) w4 e9 N4 P: g$ gDistribution-free method, 任意分布法1 U1 @" |( V( F3 H# J* ~
Distributive laws, 分配律
+ a3 M) F1 k2 O/ k; @% t) d7 x# VDisturbance, 随机扰动项
* a- J' ]* K4 D5 u- C# Y6 ^* lDose response curve, 剂量反应曲线# o* D, t/ V' t7 c& y, b* Y
Double blind method, 双盲法( w4 F! F/ a2 p' v7 P
Double blind trial, 双盲试验
$ X6 j- B7 v. ~1 b9 d- K4 D: vDouble exponential distribution, 双指数分布; A2 I' r- u, m1 q! F3 R
Double logarithmic, 双对数- |' R3 i1 o& p4 v Y* f1 _
Downward rank, 降秩
3 Q& m9 e, C$ ~! w3 _3 `! eDual-space plot, 对偶空间图
0 _" O7 C! \6 B( W) M. `* GDUD, 无导数方法
6 Y# T' _6 T" _. L- `Duncan's new multiple range method, 新复极差法/Duncan新法
j; Z: M1 p0 ?& }; fEffect, 实验效应4 `: `0 P' ^ O: k8 y8 |
Eigenvalue, 特征值! M* s2 |8 J& O- u0 S0 s2 Z
Eigenvector, 特征向量) z4 b. I5 u4 }
Ellipse, 椭圆; Z9 Q9 K2 W/ c$ h# A" v2 W
Empirical distribution, 经验分布6 e2 `$ ~! _( S1 y
Empirical probability, 经验概率单位- S* Y v' C% K$ w
Enumeration data, 计数资料; I# d/ V! [- r4 M! @
Equal sun-class number, 相等次级组含量0 o9 E1 ^- x* q& r2 k; h: _
Equally likely, 等可能
) R6 u( U; h7 E5 fEquivariance, 同变性
. y- ?, f: s7 {. p8 J+ w5 x% d% WError, 误差/错误. D; _/ C) c5 I( ?3 u; ^6 [
Error of estimate, 估计误差
+ I7 p1 {- ?9 XError type I, 第一类错误) h" k* G5 O9 D0 T
Error type II, 第二类错误* E8 O1 G2 Y( D1 j
Estimand, 被估量
/ [) }" q! ^9 d) z3 F: Q2 ZEstimated error mean squares, 估计误差均方. |9 C. t9 k7 s2 B' H& o! j$ H
Estimated error sum of squares, 估计误差平方和* h( @6 k% p a5 _3 j- v0 V
Euclidean distance, 欧式距离/ S4 ~& N7 _' q' D. o
Event, 事件7 [$ ?3 T) J8 `
Event, 事件! H% e8 j/ U B3 K9 N6 c: }
Exceptional data point, 异常数据点, y1 Y/ Z4 O1 i3 }) |' |. t; p4 t
Expectation plane, 期望平面% [- T+ S$ B& \5 H+ E4 d
Expectation surface, 期望曲面
: f- O& H+ n: ?6 f( t8 J! PExpected values, 期望值% B/ y) H% ?2 ^* y) K" Q* P
Experiment, 实验
2 F3 I7 n+ M( [: F. SExperimental sampling, 试验抽样
5 D8 L8 b& Z! M0 B) C. `. cExperimental unit, 试验单位
& M1 C( z: I3 g3 U6 ~ @Explanatory variable, 说明变量, F" E9 p, w C; G
Exploratory data analysis, 探索性数据分析' } V& c+ w( \% ]) i
Explore Summarize, 探索-摘要" \' o2 d0 A5 I0 l
Exponential curve, 指数曲线7 L3 J* `& J% e+ O( N3 h
Exponential growth, 指数式增长
! d* M; H/ r v) ^0 o( h5 d- C$ C: F5 ?EXSMOOTH, 指数平滑方法
d2 r9 _. a3 I+ I- \6 kExtended fit, 扩充拟合
% t9 ~$ U. T( {2 UExtra parameter, 附加参数; @% J4 d2 o: T2 h
Extrapolation, 外推法* U1 n* x A9 G1 P0 ]0 o
Extreme observation, 末端观测值5 b) {6 j8 c% x9 ^
Extremes, 极端值/极值
( F" E. ?# a1 x8 ?' @9 _+ ? SF distribution, F分布
# [1 j5 d& d! j1 `" i8 `9 gF test, F检验
* G0 C X/ y5 F- PFactor, 因素/因子
4 h: q4 q3 ]4 T: J5 v. xFactor analysis, 因子分析
) T$ w% X. ]4 }Factor Analysis, 因子分析
6 E, [- f0 E6 }# ?Factor score, 因子得分 + ]( c8 H4 V! K9 _
Factorial, 阶乘1 \0 ~: \/ _7 A) A! H8 L
Factorial design, 析因试验设计
$ c9 h* l' T/ X! c% aFalse negative, 假阴性
/ O) Q; _( s5 S' lFalse negative error, 假阴性错误4 w# j) I5 W0 K- p
Family of distributions, 分布族
* t, l: M. t) S, p/ vFamily of estimators, 估计量族5 s' ^2 r. L/ y
Fanning, 扇面
0 g N6 \# T5 D3 Z4 e4 i, y$ hFatality rate, 病死率2 @! Q9 t- D& `5 T& q: U
Field investigation, 现场调查
. D; |8 [/ G6 _0 q& V! C. fField survey, 现场调查( k) w1 H2 |# T, s; }$ i
Finite population, 有限总体
3 c+ F; E1 b Y m8 q! EFinite-sample, 有限样本
/ Q! Q. I4 {+ t+ E, pFirst derivative, 一阶导数
& j, X1 A8 Z7 g+ N4 FFirst principal component, 第一主成分
/ \' C8 d0 u: |: v/ k5 BFirst quartile, 第一四分位数" b) m9 x$ q( l8 ^3 T; Y: M) |
Fisher information, 费雪信息量
! {5 k h7 _0 D+ E3 l8 {Fitted value, 拟合值3 f: S* [# F) g7 K3 y. [
Fitting a curve, 曲线拟合2 ~+ G* y3 k# Y9 l: f, |2 M( T5 v
Fixed base, 定基
- y/ O# @% B1 I( K4 X* {$ GFluctuation, 随机起伏" Z! v3 L h) \+ {. |
Forecast, 预测9 q ]) h& n6 v) [
Four fold table, 四格表
$ i: f/ L6 n1 B. h* G9 cFourth, 四分点
; N: j* G: y6 A* P+ SFraction blow, 左侧比率6 ?# O6 ^! t5 s
Fractional error, 相对误差' t @ U7 O: g p( U
Frequency, 频率
% g6 _# T+ ]1 t- mFrequency polygon, 频数多边图
" O5 c* [4 q+ g l* h- UFrontier point, 界限点/ S. l- L) v$ _6 i3 k6 a, o2 y# x: x" j1 s
Function relationship, 泛函关系
+ C$ J2 Y2 N& O8 o8 p1 f$ JGamma distribution, 伽玛分布
( D* r: Z5 i7 YGauss increment, 高斯增量$ Q7 ]1 N2 T! L/ s C* f
Gaussian distribution, 高斯分布/正态分布1 t( g9 X# O* R; f( Y
Gauss-Newton increment, 高斯-牛顿增量
* T) |1 B( F$ q8 P! D) P4 C1 b5 l+ ]General census, 全面普查3 o4 N6 k5 i0 X# R/ V5 ~& M& v
GENLOG (Generalized liner models), 广义线性模型 . ?8 I4 Z) t' O3 @
Geometric mean, 几何平均数* A: B8 m: @6 n" g5 g
Gini's mean difference, 基尼均差 l, o. i7 B# b5 ]7 t! B
GLM (General liner models), 一般线性模型 7 s6 @" [: m$ E& ]2 ^& G+ M. ?$ z
Goodness of fit, 拟和优度/配合度% _. d6 _% _/ P' v6 a
Gradient of determinant, 行列式的梯度
1 M8 ~% v' p2 BGraeco-Latin square, 希腊拉丁方
4 f$ @: t/ l$ X8 UGrand mean, 总均值
3 L/ X, l1 Y# i3 U% J; _Gross errors, 重大错误) s$ W( z& j' |, r
Gross-error sensitivity, 大错敏感度
9 r) a4 I8 T+ r% cGroup averages, 分组平均+ w: P" d7 `* K. J5 L( b9 h
Grouped data, 分组资料0 G- B7 d: p6 U5 S( M
Guessed mean, 假定平均数9 x% H2 @. [& G' ^3 x/ [8 R' c* g
Half-life, 半衰期
$ ?4 D8 n% d: @. {# i/ q; BHampel M-estimators, 汉佩尔M估计量% V# n, t$ e d
Happenstance, 偶然事件3 ]$ t, j$ |- V3 Z
Harmonic mean, 调和均数
- E% U! o3 A! u' _8 x4 `Hazard function, 风险均数! o5 i% ?/ k2 E9 i
Hazard rate, 风险率% F5 b- E+ q$ Y; F, l0 b
Heading, 标目
& g! T7 \/ I& j% I* h0 vHeavy-tailed distribution, 重尾分布( f6 }. f& z3 W9 S4 @/ p
Hessian array, 海森立体阵
3 {9 E: N8 ?$ o; a2 ^% u) DHeterogeneity, 不同质, B6 |, I3 {) K- `* c& r
Heterogeneity of variance, 方差不齐
e# l. H" d: A( ~' P, [) Q( x+ dHierarchical classification, 组内分组% e9 T! F2 W- s
Hierarchical clustering method, 系统聚类法
% q! L' S, I1 z8 C+ Q+ I: M5 ?High-leverage point, 高杠杆率点8 t5 A( y9 Y7 _1 }/ |! k
HILOGLINEAR, 多维列联表的层次对数线性模型) `9 ?+ l: z; O6 S
Hinge, 折叶点
, e9 p* d6 Z) d) H5 RHistogram, 直方图
) M4 B; A; Y3 Q* f$ cHistorical cohort study, 历史性队列研究
3 \ [, T! j) q' [9 BHoles, 空洞% m( R; V; c) G5 F V
HOMALS, 多重响应分析
a+ g9 L0 |# x. ^Homogeneity of variance, 方差齐性$ K; k7 ^5 ]7 d) Q9 K+ O, {7 l
Homogeneity test, 齐性检验
4 B% x# s5 u& d: {2 V/ {2 Z, p+ l& U9 pHuber M-estimators, 休伯M估计量" h1 V+ f% {" t( @
Hyperbola, 双曲线' m$ g. c1 x( I* \/ _
Hypothesis testing, 假设检验
8 Z$ C8 w! d: S7 ^$ D/ ^" oHypothetical universe, 假设总体
% g: }5 N& Z0 i5 x( HImpossible event, 不可能事件
$ V& _) p+ d/ u; TIndependence, 独立性9 |+ i! s5 V( y8 k8 X g
Independent variable, 自变量
3 M" Q$ s/ b. u' d- b8 [) E. R9 vIndex, 指标/指数* `5 K7 \% i+ l- l$ ^# d
Indirect standardization, 间接标准化法
8 t) V s* a5 a8 Y1 C5 |9 v6 MIndividual, 个体2 b8 n) V% R& d/ d' r0 g, U* S' k) k
Inference band, 推断带0 U& d% o" ^% a
Infinite population, 无限总体3 ]$ \1 P- K( [& Y( @
Infinitely great, 无穷大
7 A0 `9 k7 f5 tInfinitely small, 无穷小, M$ \9 D: O; v" Z& m- m K9 I
Influence curve, 影响曲线0 F( I" n- d o1 [; |. l' N
Information capacity, 信息容量6 F; w1 P4 c4 z# |9 }- V/ G
Initial condition, 初始条件
4 Y" z6 x% G; c+ FInitial estimate, 初始估计值
+ r2 f7 ^! @% S @; g g0 ^: qInitial level, 最初水平
, Q% s$ Y& q5 d; P K z1 E, WInteraction, 交互作用
9 T& z8 l0 `5 Z V& a# q! wInteraction terms, 交互作用项: U' p8 W5 @& M
Intercept, 截距
6 g9 h" m2 ?& a( G/ z [: K7 Y; m1 GInterpolation, 内插法3 v- U5 t! E" p F
Interquartile range, 四分位距
: F1 }/ k" O. BInterval estimation, 区间估计0 B; @% l# H) N7 u0 k! S, J
Intervals of equal probability, 等概率区间% D/ x) p8 p* k: L
Intrinsic curvature, 固有曲率
) n, L0 {7 l/ C) w& \) bInvariance, 不变性
" w( r# v$ g4 D. [1 XInverse matrix, 逆矩阵' {* B! k: g/ q Q& s% J, q
Inverse probability, 逆概率
2 p' X8 l' |/ h8 pInverse sine transformation, 反正弦变换9 `' ]5 c3 f$ _" y' X
Iteration, 迭代
/ S( M4 A7 I, p& Q6 X% rJacobian determinant, 雅可比行列式0 C& O z+ l+ l+ { G, w- {( d
Joint distribution function, 分布函数+ Y& t7 `# e: h2 i' o
Joint probability, 联合概率8 n& }/ c0 h9 {0 N) p
Joint probability distribution, 联合概率分布0 D# ]4 ]$ u- p
K means method, 逐步聚类法
6 a- X& _. w5 w) \' vKaplan-Meier, 评估事件的时间长度 7 h7 y# g0 I7 q- ~# y {
Kaplan-Merier chart, Kaplan-Merier图
! m# S% K J( ]/ ?6 h. j! X$ GKendall's rank correlation, Kendall等级相关. |: P, S0 H) C- e1 b, I1 e
Kinetic, 动力学
% {4 s* ?) a. R0 i0 h' AKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验. r2 ~) ] i& _8 a2 `" I# a
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
; w7 G1 f4 Z$ G1 n- t1 R1 z4 l' NKurtosis, 峰度4 t7 `6 t" f* V K g: H4 G$ p2 m
Lack of fit, 失拟& {/ O. P& b5 {+ h1 s
Ladder of powers, 幂阶梯
2 Q9 i) C' }( z+ ]Lag, 滞后
) | t# P' m) y# R& I0 aLarge sample, 大样本
0 G( @) t, m1 k& V4 b5 Y. M6 ^Large sample test, 大样本检验9 b7 R% H7 F& p# Y3 `+ M L
Latin square, 拉丁方* i* b2 [7 p* [! k+ d' {1 n9 Q
Latin square design, 拉丁方设计
3 _/ J8 G; n/ I* [1 h hLeakage, 泄漏
" y1 n7 y- M f* P/ g3 Z! K9 iLeast favorable configuration, 最不利构形
# @( m$ x7 x. @8 N) GLeast favorable distribution, 最不利分布) K4 l$ i. [1 g. s! m2 G' }
Least significant difference, 最小显著差法
, T0 _% I7 w6 v# q% W/ F0 T* h& ILeast square method, 最小二乘法
* I! \, P3 H* r" t! w" L( bLeast-absolute-residuals estimates, 最小绝对残差估计
2 p$ s! m5 {: K' B' V$ F6 v$ qLeast-absolute-residuals fit, 最小绝对残差拟合
9 S( }& C8 q# m5 \9 WLeast-absolute-residuals line, 最小绝对残差线( a7 c F# i5 l+ e2 p, r3 Z
Legend, 图例
. a8 |. V3 g# `( W7 f7 f+ Q+ u% kL-estimator, L估计量7 [! O! Q1 ]5 B$ R
L-estimator of location, 位置L估计量
' `9 g4 ~/ ~. p, y* p: C) _L-estimator of scale, 尺度L估计量
! j9 q( o$ f/ m2 L, pLevel, 水平
) w$ V0 V7 O8 }; E4 H! bLife expectance, 预期期望寿命
5 _6 H: ^! }) Y$ `" |( bLife table, 寿命表9 ?) i! k( J8 ^) S0 k
Life table method, 生命表法 ^, c b' W( G0 w5 f) S) V) V
Light-tailed distribution, 轻尾分布
7 D2 X& |* D- J) F5 O+ g* qLikelihood function, 似然函数
0 m m# I* `$ v7 P( J ^Likelihood ratio, 似然比7 F6 b7 d- c( z
line graph, 线图) D ^/ i/ J8 S
Linear correlation, 直线相关
m! p, I4 W, B% h" [: M6 ALinear equation, 线性方程
9 T# i9 f$ t5 y" xLinear programming, 线性规划 Y8 F+ n, j( j3 h. @( _
Linear regression, 直线回归
0 ~# E7 w) H' q" o3 b8 `9 d( p5 u oLinear Regression, 线性回归( j l9 E! Z3 r! h" P! G) y7 x
Linear trend, 线性趋势
+ {3 ?% \5 j* T! lLoading, 载荷
5 l' d7 K( ^8 `0 `8 Y/ o. }Location and scale equivariance, 位置尺度同变性* X' `1 b$ ]% ?, @, `
Location equivariance, 位置同变性; K( @/ Z, o$ l5 {& b
Location invariance, 位置不变性
6 j" f v! p" K+ Z7 m+ ]3 jLocation scale family, 位置尺度族
7 q1 C$ D0 y, A8 @% S; S0 fLog rank test, 时序检验
7 h6 [2 `+ f& f4 n, f' I( z6 _4 RLogarithmic curve, 对数曲线2 Y: @' ^& r8 T' ^/ p# z) A
Logarithmic normal distribution, 对数正态分布1 J$ O2 a: t8 v- w1 {
Logarithmic scale, 对数尺度3 F/ @7 e1 n$ ?. x. D+ G
Logarithmic transformation, 对数变换
8 m% B0 {3 L4 l; E* _Logic check, 逻辑检查
' q) Y7 k1 Q" a; H( ALogistic distribution, 逻辑斯特分布
2 M! R. @8 b: S: O `Logit transformation, Logit转换
# {) |( x4 X! j. ~4 fLOGLINEAR, 多维列联表通用模型 6 k M& R8 J: W' f5 g+ N2 T* {
Lognormal distribution, 对数正态分布
5 f1 ~8 h& R3 A+ wLost function, 损失函数
4 C" n2 A7 S7 ?& xLow correlation, 低度相关
. \# A* U6 _: x$ [9 H4 ]( YLower limit, 下限4 u$ s0 _" D4 [* T
Lowest-attained variance, 最小可达方差( C' A: e4 _/ ?9 N% Q
LSD, 最小显著差法的简称
0 A% g) v* f% @/ b. eLurking variable, 潜在变量
' k4 m2 u: \. }4 Q/ DMain effect, 主效应) O' R/ S9 z+ G* |$ y( p+ S
Major heading, 主辞标目% L3 p) \0 Z5 |) t
Marginal density function, 边缘密度函数
" Q; I" V( }9 x! }% iMarginal probability, 边缘概率
7 f0 l3 u. O9 ]& B+ K" AMarginal probability distribution, 边缘概率分布* z' z8 i" i- ]/ ^, v
Matched data, 配对资料, Y3 I) Z" c% o9 L F
Matched distribution, 匹配过分布
! n: x* h" _, K) S) ^Matching of distribution, 分布的匹配
6 K6 e1 ^. d' y% \" f/ b$ Z6 RMatching of transformation, 变换的匹配& |* ~# h) u: @" V
Mathematical expectation, 数学期望
# O0 G4 y2 i' a3 G2 T* BMathematical model, 数学模型* s! Z: M) V6 V
Maximum L-estimator, 极大极小L 估计量
3 ^7 y: U. Y2 |( h* IMaximum likelihood method, 最大似然法/ Z0 G4 g/ B d; E/ N; W; P( f2 ]
Mean, 均数
7 s& Z, ~" R" G, _; v% aMean squares between groups, 组间均方+ y0 i( n$ x7 J/ M$ Y4 G' B9 V
Mean squares within group, 组内均方/ s% S8 g0 X9 F+ O
Means (Compare means), 均值-均值比较! B Q+ t, b s9 }
Median, 中位数
; N2 l" d2 \' F/ n5 n' p& PMedian effective dose, 半数效量% ]8 H3 y- w9 t. \$ [- i6 V7 m
Median lethal dose, 半数致死量- V" {- a' J! j; r
Median polish, 中位数平滑
) F' M) i) Q& h% S u2 sMedian test, 中位数检验
' V# [$ H( x3 Y [. UMinimal sufficient statistic, 最小充分统计量, T* ^/ Z% P% [- [$ ~
Minimum distance estimation, 最小距离估计
& \, _4 u% _6 n' w, ?Minimum effective dose, 最小有效量/ z; Y+ p3 Y8 j, G
Minimum lethal dose, 最小致死量2 }+ R4 z4 |5 q7 ?2 ` b
Minimum variance estimator, 最小方差估计量. L" e% r" Y4 z: h' f) i5 H
MINITAB, 统计软件包# l P$ g; a7 ^( G. C
Minor heading, 宾词标目% p5 |5 _( R; M# \/ K
Missing data, 缺失值
% y& H8 Y) D% _) \. W, N4 RModel specification, 模型的确定' }, y- q' p6 B
Modeling Statistics , 模型统计
: L+ u+ t; D4 J5 L- YModels for outliers, 离群值模型% ~- o: f3 m4 ^) p- E. y
Modifying the model, 模型的修正
! O3 R& k0 L) B' F! ?" Q# e) n" aModulus of continuity, 连续性模
5 g3 i' b9 F5 F% [2 LMorbidity, 发病率
! g$ H1 t2 k) ]1 fMost favorable configuration, 最有利构形
4 M5 R; u- `- }4 f4 ?% N# KMultidimensional Scaling (ASCAL), 多维尺度/多维标度
* H5 A2 ^0 h* v" H! \Multinomial Logistic Regression , 多项逻辑斯蒂回归* k: [) {2 x; w& x6 f5 w
Multiple comparison, 多重比较' o* m5 H V6 G) S& q3 S' {1 E
Multiple correlation , 复相关
2 p* p/ P3 l+ `& F0 `( \Multiple covariance, 多元协方差9 y1 N% y9 }# {2 H2 n
Multiple linear regression, 多元线性回归
5 f! p+ ~; R2 R# cMultiple response , 多重选项
F* B7 |( I) }Multiple solutions, 多解' l: E: X9 a$ e7 v1 {
Multiplication theorem, 乘法定理
' d, f: w, V# l5 ^8 [6 D) S; n wMultiresponse, 多元响应8 x# N2 z+ T! h9 L
Multi-stage sampling, 多阶段抽样- b; O$ s& [. y0 I0 j' x1 V, s* c
Multivariate T distribution, 多元T分布) M" O# }% b* r8 x9 b& X: a
Mutual exclusive, 互不相容7 o9 ~- F* r9 d& _, k
Mutual independence, 互相独立3 I; N1 v8 H! C/ T% }3 L0 B
Natural boundary, 自然边界
9 B- X, I/ q+ pNatural dead, 自然死亡
# {9 N' ?4 w1 J$ C% G8 A& ~Natural zero, 自然零1 P+ o( S& K9 b4 K* C
Negative correlation, 负相关
5 G% s4 h$ y9 t/ ZNegative linear correlation, 负线性相关: t7 F& K% {( r5 O3 o
Negatively skewed, 负偏+ M5 N0 @2 b( q! V) z! ?+ P
Newman-Keuls method, q检验/ m0 K0 P6 u% H5 F
NK method, q检验
4 I* n5 y. N9 C* [9 ANo statistical significance, 无统计意义
9 [( b6 s% X& m* c+ aNominal variable, 名义变量 |+ x7 U1 J7 a# W" T: y: R
Nonconstancy of variability, 变异的非定常性
8 ^- v1 F5 M' Q v7 l5 UNonlinear regression, 非线性相关5 j5 f+ H* m/ A1 M& _
Nonparametric statistics, 非参数统计
3 ~3 ?4 c1 x& U9 O$ |Nonparametric test, 非参数检验2 [( @/ v6 U9 G& M$ b$ d8 i
Nonparametric tests, 非参数检验
# x( X$ Q! ]& J. g) m# lNormal deviate, 正态离差
% A" }" i3 _* UNormal distribution, 正态分布! \0 {; @ ?, @; O% @) I3 a0 C- A
Normal equation, 正规方程组7 I; u: a* A" ?: v) @! j$ F
Normal ranges, 正常范围" y& v1 K1 Q& Y$ Q- w0 w
Normal value, 正常值
4 b# N6 d; E7 V& n) ?( hNuisance parameter, 多余参数/讨厌参数
) w* {# ^0 E# }' ~Null hypothesis, 无效假设
6 F9 B. P! d8 x4 g4 T+ PNumerical variable, 数值变量
5 y) H! r. K) b+ }- a. a4 V; z0 B2 g% FObjective function, 目标函数* z3 v, \0 _/ T& \9 z2 E" O# R
Observation unit, 观察单位
6 q- v$ D' U) V) FObserved value, 观察值
& U$ ^+ k, L5 \One sided test, 单侧检验, ?+ m2 w1 x8 c' o
One-way analysis of variance, 单因素方差分析
1 X5 o' [+ Z: M6 ]9 U" j) X V" tOneway ANOVA , 单因素方差分析! Z- E' i$ |& o; J
Open sequential trial, 开放型序贯设计- T, l6 L3 u% `; N% p, A" h' H
Optrim, 优切尾
4 k! R3 b/ x% x) G, FOptrim efficiency, 优切尾效率( K" v+ @, H! d: p7 C/ x/ Q
Order statistics, 顺序统计量! o8 _: b: @" f
Ordered categories, 有序分类$ V4 {+ v' B8 u
Ordinal logistic regression , 序数逻辑斯蒂回归0 ]; W+ N- Y# v! l
Ordinal variable, 有序变量/ J: h' W- H; ^- e7 w" |% f
Orthogonal basis, 正交基
. g- q5 B- p. O% UOrthogonal design, 正交试验设计
3 p: v$ g- Z6 T6 [. D+ bOrthogonality conditions, 正交条件
$ x8 T8 K' s/ h J/ m* D6 h' KORTHOPLAN, 正交设计 + R3 C i( I# F9 T$ p; Y
Outlier cutoffs, 离群值截断点
( C t1 _0 d4 V) Y' I4 E& YOutliers, 极端值. B. t: v# ~ C, Z% g
OVERALS , 多组变量的非线性正规相关
" v* C' f8 I1 MOvershoot, 迭代过度! e' l5 `' U0 O) a' p# N* {6 g
Paired design, 配对设计
6 o# B- m3 U6 u bPaired sample, 配对样本* O" D: g' s" n4 O! L
Pairwise slopes, 成对斜率, e& K" T/ R3 F: A; `
Parabola, 抛物线8 R' J8 o" Z, v5 N. u: a/ d
Parallel tests, 平行试验
4 S$ x2 M. |( d" q, |6 H/ \Parameter, 参数
1 H/ N- v- m( A7 s! OParametric statistics, 参数统计9 B$ h. ~9 j0 r/ p/ A
Parametric test, 参数检验9 x: X4 z0 O' H7 ]+ T
Partial correlation, 偏相关
' B) b% W$ ?$ V6 D# QPartial regression, 偏回归
; c9 k% h0 m6 @8 i" f6 d$ T0 D6 ?2 W6 gPartial sorting, 偏排序2 I3 }- P/ E5 w" H2 w" M5 i2 Y
Partials residuals, 偏残差" v' Q* [$ _9 |( t* Q. f F
Pattern, 模式- | a; L9 t7 C
Pearson curves, 皮尔逊曲线. @ Y8 p. a/ }/ q
Peeling, 退层
% z9 f/ p( x& t) APercent bar graph, 百分条形图
7 j- d" U7 A; D. R# Y8 \8 GPercentage, 百分比
" P' {; H) Z/ G3 {& L4 mPercentile, 百分位数. C, P9 ?6 v* h* {9 ]% i( T8 x
Percentile curves, 百分位曲线
6 a5 N4 q# Y! fPeriodicity, 周期性; }9 Y3 |9 H# v7 H- e: [7 M5 L" u, X
Permutation, 排列: h1 U; H5 M0 S) Y* A' D" I
P-estimator, P估计量
. i1 o% m) @3 sPie graph, 饼图6 Y( l1 t4 U, S9 n' p; U
Pitman estimator, 皮特曼估计量
$ a# n0 s4 W3 ?2 L: |2 mPivot, 枢轴量
& ~, j# a9 p2 m- {+ S* ?Planar, 平坦
/ I& J4 g+ W- t! l& T: kPlanar assumption, 平面的假设
3 H! x( j( ?0 s5 p" cPLANCARDS, 生成试验的计划卡; v$ ^2 L" V+ r8 @, b. y
Point estimation, 点估计 A) y% K8 W1 Y6 u
Poisson distribution, 泊松分布) n( l3 ?3 k! \5 {
Polishing, 平滑) m3 [ v% s+ a
Polled standard deviation, 合并标准差$ Z1 P7 p) }3 C2 h! _
Polled variance, 合并方差7 u3 V# e$ z6 c1 \% c6 L) m
Polygon, 多边图7 c8 [$ \# B( }
Polynomial, 多项式0 S/ q4 }; P$ b2 j) {
Polynomial curve, 多项式曲线
" m5 t9 F! _5 K q! E) {Population, 总体
* s$ K; ?! a- A- a4 u2 O/ YPopulation attributable risk, 人群归因危险度+ g+ \4 u- l: u j# D8 ^5 V
Positive correlation, 正相关6 C; S O( o/ ^7 U9 ^& S8 q/ {
Positively skewed, 正偏
4 i/ E3 X3 O& J# SPosterior distribution, 后验分布& {; L' w' K" ^3 \5 X* Y2 s
Power of a test, 检验效能7 O" b- L" ]" K) T
Precision, 精密度5 d/ R; Z- K2 B3 h g; C/ N
Predicted value, 预测值
. f$ x1 v) z0 u0 y2 G, _Preliminary analysis, 预备性分析2 |, V5 ]; `1 y
Principal component analysis, 主成分分析
~8 q) `0 G2 K; s3 y) PPrior distribution, 先验分布" X1 |8 U1 d! B( L
Prior probability, 先验概率
6 w! Z) @( c! X8 MProbabilistic model, 概率模型$ y7 u" y7 {) V( m# y
probability, 概率6 Y- ^# g' o3 @ ]3 ~) m4 ^
Probability density, 概率密度, X+ ?2 ^) L \. [& i# H/ P9 L
Product moment, 乘积矩/协方差
/ C9 S. V3 F! u6 _6 i, fProfile trace, 截面迹图
; I8 o+ L( Y) D$ x) L! VProportion, 比/构成比
|, P$ t0 V9 I9 Y0 G8 ?# {$ L0 c( ZProportion allocation in stratified random sampling, 按比例分层随机抽样
$ R# {8 m h. I* ?+ @' SProportionate, 成比例
* @7 M* W0 _8 b+ D% t( yProportionate sub-class numbers, 成比例次级组含量7 S5 @9 b/ q0 C* w2 F
Prospective study, 前瞻性调查5 y8 h" V; y7 j# \) ?; [3 N) t, c E
Proximities, 亲近性 # G' Y$ |/ O8 r, W! H" b2 l. U
Pseudo F test, 近似F检验
5 u" ^# G+ E% Z' @) b3 S9 mPseudo model, 近似模型8 {* n) P$ I$ u: K& E+ U
Pseudosigma, 伪标准差
' U5 ^" T H0 n( [Purposive sampling, 有目的抽样. t u/ p4 n$ G
QR decomposition, QR分解" T! j; v l' O, n( F
Quadratic approximation, 二次近似) h( |4 h2 W% B1 w4 i
Qualitative classification, 属性分类9 Z) U" p8 W6 j: ?/ s6 O- i" C8 @, G
Qualitative method, 定性方法3 F- P* b! K, |; C4 C* b& l4 t
Quantile-quantile plot, 分位数-分位数图/Q-Q图
- G9 y! H& H& b9 C" H* QQuantitative analysis, 定量分析
' p( C2 l& F0 n' e5 IQuartile, 四分位数
% E" W$ @: d+ EQuick Cluster, 快速聚类' Z* B! Q1 m9 ~0 X! \
Radix sort, 基数排序
" q6 O: k0 k0 jRandom allocation, 随机化分组: E6 f F& ]" V4 C( b$ p1 r, h
Random blocks design, 随机区组设计7 _/ ^# _: F( }% K' l" H
Random event, 随机事件
6 J8 i" _6 n3 m8 C; L- v( J5 K7 C5 u( HRandomization, 随机化! s, W; F7 a3 }9 h5 b$ c) m0 D2 E
Range, 极差/全距
+ ^, D- o F/ x I9 [Rank correlation, 等级相关; e: h1 G6 v) {( H' U. Z
Rank sum test, 秩和检验
. I$ C" L# ~' f$ j3 b7 DRank test, 秩检验
" e6 _; j3 y5 GRanked data, 等级资料/ n9 m6 i4 C/ i$ Q
Rate, 比率) B4 w2 K2 Z" j' I
Ratio, 比例9 {3 ~; T* x z* O3 y5 w/ f( m
Raw data, 原始资料! K& g& a' K' ]2 v {) s c
Raw residual, 原始残差; N3 w- |* }) m* H+ @$ t9 o$ R
Rayleigh's test, 雷氏检验9 v5 E7 |9 a) k
Rayleigh's Z, 雷氏Z值 * S0 v. ^- f/ S% \, B/ G6 a
Reciprocal, 倒数
) O( Z2 ^. x; }* K6 E6 p" i; B. S) sReciprocal transformation, 倒数变换
. ^* N' Q" L) \9 F+ ZRecording, 记录- u' [" ]) I; [: I
Redescending estimators, 回降估计量! A2 q* d) l3 A! @& S
Reducing dimensions, 降维
0 Z8 Z+ K9 E" N5 S$ t) l5 Y: CRe-expression, 重新表达
; S; G, _8 C* i7 c2 G/ lReference set, 标准组
* L0 h$ q- Y! O5 ?# B$ wRegion of acceptance, 接受域
9 n3 S, i2 b/ q5 oRegression coefficient, 回归系数
8 V. L- a# k! |0 e: a6 KRegression sum of square, 回归平方和
4 s( u, ?9 }- f1 Q6 z5 G2 ~; K9 A' ]Rejection point, 拒绝点
' h# k9 Y* i2 V |0 ` R" X: X/ N! zRelative dispersion, 相对离散度
/ ^3 ~( b. n# l7 F- G7 e& w kRelative number, 相对数
% t- ^4 {, O0 Y. tReliability, 可靠性# J' q! H3 `, ?: q0 Z% ^
Reparametrization, 重新设置参数3 A8 r4 i9 s9 H& m% p
Replication, 重复2 f, x; D/ d. c; v8 T# I; C: t4 q9 V
Report Summaries, 报告摘要2 ^8 c5 r* k3 e/ o9 J s3 G" B
Residual sum of square, 剩余平方和3 K, @$ w J6 ^* N- `& z
Resistance, 耐抗性( _5 A+ G$ V0 X* b
Resistant line, 耐抗线
* Q5 e7 B- ?8 }! @2 M& b, V' G! BResistant technique, 耐抗技术
0 h0 S+ ^, |$ l' W8 ]7 Z0 l( ER-estimator of location, 位置R估计量# j$ t& ^, {; P) S% l1 {
R-estimator of scale, 尺度R估计量
. s' w. z- ]# f* I* e2 ~9 \Retrospective study, 回顾性调查+ }3 X# c9 w# w% ?# \& B5 e% ~8 N
Ridge trace, 岭迹
$ P6 e: P/ w! n$ S$ h4 kRidit analysis, Ridit分析: }* g/ h6 _0 K+ Q) U1 J
Rotation, 旋转
3 o; \) Y+ _; {2 F7 P& NRounding, 舍入2 s H* }' _. h5 y7 X
Row, 行 u2 |4 |) t9 Z6 G! M1 P) G9 z( A9 n
Row effects, 行效应) P% ^# p5 s0 M0 M4 E, H ~% `
Row factor, 行因素- {0 }1 I0 U i5 ?3 E4 P. n
RXC table, RXC表
# g5 m* B3 t! J! e0 o, eSample, 样本
& ]9 M9 ^1 t. |9 P5 \Sample regression coefficient, 样本回归系数
6 r' h7 u( a" e$ uSample size, 样本量; _2 f7 A1 T7 Q! w9 c
Sample standard deviation, 样本标准差
9 S0 T' X5 V: o ^7 h, @Sampling error, 抽样误差. p- z: P2 \: J3 `7 ]
SAS(Statistical analysis system ), SAS统计软件包
$ A6 I/ E$ B* X- v' u* OScale, 尺度/量表' {9 [1 D3 p( C x
Scatter diagram, 散点图
% L8 e7 A; L; m! l/ d! c5 PSchematic plot, 示意图/简图
5 C m6 Y" o1 H! K2 bScore test, 计分检验
7 L6 r- ?, r8 e" Y cScreening, 筛检
( d4 p' @1 \2 K3 D- t# aSEASON, 季节分析 ; _; H0 n' C# k. y+ ?4 C
Second derivative, 二阶导数
5 t+ X9 w K$ W2 T, D4 P2 pSecond principal component, 第二主成分
1 W' G0 H" j# u* RSEM (Structural equation modeling), 结构化方程模型 1 X+ \1 l+ t2 W$ [1 H6 k+ R
Semi-logarithmic graph, 半对数图
# h5 S! A7 S: Y V2 g5 y7 [Semi-logarithmic paper, 半对数格纸% M; L& P t. ]) o2 l
Sensitivity curve, 敏感度曲线
I! {! N- O& {5 ?. X6 A6 c6 HSequential analysis, 贯序分析2 X% X. G5 |4 e0 [3 a
Sequential data set, 顺序数据集
. c( B$ H: j. w- k- x2 @$ q, [! kSequential design, 贯序设计, @" A8 B% m2 ^9 f+ L9 }8 V
Sequential method, 贯序法+ u* M, o. ?+ @; q4 {8 H- ~/ z
Sequential test, 贯序检验法
: W' S! ~ o7 J" G. r% j/ ?. lSerial tests, 系列试验
& a$ W% S6 ~2 F+ q8 C+ L& EShort-cut method, 简捷法 # _6 G& v7 b0 ], a& g
Sigmoid curve, S形曲线" z* R1 l' i+ u w
Sign function, 正负号函数
9 L% ^$ O3 a/ eSign test, 符号检验
2 Q* n+ Z% J' z7 t+ R9 u* x4 p* RSigned rank, 符号秩; y+ V; F1 J1 m# {
Significance test, 显著性检验/ ?* {1 Z' X. ]* A( S6 K2 I
Significant figure, 有效数字
! A' G3 _: I5 [: a2 S( i. }Simple cluster sampling, 简单整群抽样
7 @% i& z4 R4 W+ v; e' U6 q* JSimple correlation, 简单相关% |- |! x3 S" X0 v; v
Simple random sampling, 简单随机抽样
9 T& c; U0 Y& Z9 h2 |1 _8 z* m$ [Simple regression, 简单回归
9 w9 c( |5 X$ z4 asimple table, 简单表* O; e6 w8 f: @+ p+ u* i
Sine estimator, 正弦估计量
! ]: r/ E9 j. [Single-valued estimate, 单值估计
8 v' ^1 ?: U) C. G- F$ rSingular matrix, 奇异矩阵 q/ D0 L/ x. r2 U: }! ~
Skewed distribution, 偏斜分布" Q3 O( Z& G0 u# j% J! V* C
Skewness, 偏度/ I+ o2 J9 K/ R6 l4 J
Slash distribution, 斜线分布* L. [1 O+ q0 p. ?5 s1 E# J
Slope, 斜率& l& a& C5 @1 n" Z$ I
Smirnov test, 斯米尔诺夫检验
7 z2 L& r5 n/ l$ ]" v3 g" U; QSource of variation, 变异来源
* }6 y {; ]! i5 wSpearman rank correlation, 斯皮尔曼等级相关: [/ _0 c& v% b* C& X. ]! @
Specific factor, 特殊因子/ y7 ^ |8 }5 X1 l: T: X( B
Specific factor variance, 特殊因子方差
7 ~8 s2 {6 n& X; v+ mSpectra , 频谱
- q1 K, k. }+ zSpherical distribution, 球型正态分布
# Y& a* O( P, T& \# C* P0 ?Spread, 展布6 B2 D- k% C5 \) u& s
SPSS(Statistical package for the social science), SPSS统计软件包
* J. \ D% O2 z9 sSpurious correlation, 假性相关/ d( n9 d0 D7 T1 q, O' t& Y) N# A
Square root transformation, 平方根变换7 d" x" Y9 e" q V, M9 C( M" a
Stabilizing variance, 稳定方差: Q3 M: E$ C' A8 k9 `) u
Standard deviation, 标准差
6 B7 t) X5 `. Q5 H2 l; p: bStandard error, 标准误
+ u! H/ d6 ?1 Q: ]% H" D9 tStandard error of difference, 差别的标准误6 v; ]# L# \7 r: F
Standard error of estimate, 标准估计误差, m; V) D1 k: Y6 H
Standard error of rate, 率的标准误
' S! [& G$ T1 Q6 q% @7 w9 NStandard normal distribution, 标准正态分布' p$ G3 [9 G0 w/ T3 o% W& p
Standardization, 标准化
$ F5 f s* K! SStarting value, 起始值/ A2 g |+ G I- J3 j2 B: _, p# S
Statistic, 统计量- P% z* _5 c. t# |% @0 D
Statistical control, 统计控制+ e3 |0 Y' @$ u3 W" t* H! P+ G* `5 d; e
Statistical graph, 统计图
- N# L+ v# O, [; h# {, C6 W$ I" B, fStatistical inference, 统计推断3 [" _# i8 `5 l' H
Statistical table, 统计表7 |- F. o2 m* w1 J1 p
Steepest descent, 最速下降法/ r* R( V) N' e4 e) J/ L
Stem and leaf display, 茎叶图
0 N7 T4 ^* l7 t& }2 S2 _3 ]- AStep factor, 步长因子
0 y q7 v" K. X+ U' Q9 |# _. O! fStepwise regression, 逐步回归 s0 z+ o2 P1 u; J
Storage, 存
3 ~* T3 u2 X0 [9 ` vStrata, 层（复数）
: \- e2 v P9 M; E# N xStratified sampling, 分层抽样) t7 b2 H: K. s) j( l" h+ p
Stratified sampling, 分层抽样, W7 \4 O" }# a. Y
Strength, 强度0 t \, u! ^7 k6 y% V4 }9 \8 O
Stringency, 严密性. n/ X% j6 o( K+ i. G
Structural relationship, 结构关系7 M3 ^9 S9 E8 u( [
Studentized residual, 学生化残差/t化残差
& o. T9 Q2 P6 } f' s h# vSub-class numbers, 次级组含量; F8 t" L* }& {# ]) W
Subdividing, 分割6 X) _$ K/ [( B x6 ?) o0 B
Sufficient statistic, 充分统计量
! d% w. p& i& c1 m& KSum of products, 积和1 D8 G8 _ B4 n/ o0 q
Sum of squares, 离差平方和
, l- g+ m9 z; X4 i' Z2 v, \: \Sum of squares about regression, 回归平方和) R+ | D4 U' U, ^/ }& A0 X5 r9 M5 v
Sum of squares between groups, 组间平方和1 E* N4 a8 g6 y
Sum of squares of partial regression, 偏回归平方和
6 c4 e- k/ t L: e6 ?# s2 b) v( @( fSure event, 必然事件5 B& S" N' G9 j$ T0 B* a# O
Survey, 调查8 W ^; m* `5 l7 M: v# ^- n& G
Survival, 生存分析6 P$ M8 o* R+ ?. V8 r5 j3 N ]' V
Survival rate, 生存率0 V* W7 m% S" ]# q
Suspended root gram, 悬吊根图
3 h4 p; d: w- _' Y8 z- SSymmetry, 对称% Y& y, G! @1 o+ L1 m
Systematic error, 系统误差0 `! J( L+ N0 [+ c2 ^
Systematic sampling, 系统抽样
: w( }" n/ q) U: B; \Tags, 标签4 { }" b+ ?- b3 W; T" F' d
Tail area, 尾部面积- f; p; z; U" B7 [* [
Tail length, 尾长0 }. B: t; T# l* ^8 G* |4 ]
Tail weight, 尾重) V0 \$ \" y+ o& L1 l+ C# R* _( m
Tangent line, 切线
5 W0 g* ~* d* z7 p/ |* ^Target distribution, 目标分布* O: G( c3 P. Q7 w2 ~9 x; W/ Z
Taylor series, 泰勒级数1 F) j2 f3 N; V8 I* `
Tendency of dispersion, 离散趋势# H; a0 K- M9 j) ~5 ?
Testing of hypotheses, 假设检验
W& E0 q1 w9 z5 O) x4 R" k7 p/ T/ ]Theoretical frequency, 理论频数
. d6 s ?" G% A9 }# B( dTime series, 时间序列
; B/ n8 I, D+ W" q ?2 s1 eTolerance interval, 容忍区间# k5 u' p# u" a, Q- R) p, Z
Tolerance lower limit, 容忍下限. \% @7 p( A" x- S6 ?5 d
Tolerance upper limit, 容忍上限" V+ L! P- i3 E& H1 F1 Z0 w
Torsion, 扰率; P' L# \: }8 V1 n
Total sum of square, 总平方和
! E9 M+ C2 ?2 @1 _( [Total variation, 总变异
; C0 R# _2 z! D# S% gTransformation, 转换. N4 z' f" s4 E7 G
Treatment, 处理9 F/ e, z1 [7 ~
Trend, 趋势
. F5 u; M" h. [2 s* t* Y2 {Trend of percentage, 百分比趋势
4 F8 o' j6 l+ W0 YTrial, 试验
* Z$ [' x( V UTrial and error method, 试错法
" H- _4 U+ V6 O7 CTuning constant, 细调常数
& z' ~! s4 }, A: G, [: LTwo sided test, 双向检验
* x7 `; [' L" P* B7 u4 }, U4 ATwo-stage least squares, 二阶最小平方
' x7 t3 z% f+ c# A# r& TTwo-stage sampling, 二阶段抽样
" |; j) y% \+ \: i/ V7 OTwo-tailed test, 双侧检验
, T8 L+ K0 u% e5 \Two-way analysis of variance, 双因素方差分析
+ v& f; C& r2 b1 Q3 uTwo-way table, 双向表/ R# q9 `; W. k. Z2 I
Type I error, 一类错误/α错误, P, r+ f3 x4 Y
Type II error, 二类错误/β错误
9 r! j3 z0 [' K( Y1 DUMVU, 方差一致最小无偏估计简称+ [+ `1 }) s o& O$ m" z4 Z
Unbiased estimate, 无偏估计8 I4 [ X1 H3 P7 Q3 b: \3 T
Unconstrained nonlinear regression , 无约束非线性回归
. ?+ I* q6 e3 Y, w8 h' D& y. QUnequal subclass number, 不等次级组含量
4 Z# d7 U' ]+ xUngrouped data, 不分组资料% b* f* U" B8 o* ?$ w y& v
Uniform coordinate, 均匀坐标9 o. r4 Q' `; y* m0 Z
Uniform distribution, 均匀分布5 x5 N7 Z, z: R$ y! g5 ]2 N
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
4 z# b4 l2 M& I# [3 L1 O/ UUnit, 单元$ L; U, }9 t4 Q/ Y8 v0 y" \' f
Unordered categories, 无序分类
$ k9 K6 ~4 ]: i bUpper limit, 上限
2 r6 X% n1 X( o2 g- pUpward rank, 升秩5 h# n# x' ?6 [5 {+ y6 O2 k
Vague concept, 模糊概念' J5 W4 x' u P' g% [5 |9 G9 |
Validity, 有效性6 `8 t+ [& m. K' G6 a
VARCOMP (Variance component estimation), 方差元素估计# _) X* ^( {" R' P" g8 F
Variability, 变异性
6 M5 @) F6 j# m- y# L: x: Q' ~Variable, 变量
, C4 X7 s2 ^3 F8 mVariance, 方差
( q) ~% T& C# a5 \% YVariation, 变异4 F: ]0 t/ u( p |, T
Varimax orthogonal rotation, 方差最大正交旋转
$ B9 t' S: W6 RVolume of distribution, 容积
! @' h; L& N) FW test, W检验
7 S+ F0 @+ v" e/ C0 DWeibull distribution, 威布尔分布0 w3 i( l6 c3 y' m( y4 o& n
Weight, 权数8 n, B. I# n- V0 f6 Y. i
Weighted Chi-square test, 加权卡方检验/Cochran检验
|8 b- F# X; p! FWeighted linear regression method, 加权直线回归
4 ]' j9 y& d2 J' WWeighted mean, 加权平均数8 I8 x+ a, G; T% u2 u9 }
Weighted mean square, 加权平均方差9 Q2 h% u& p/ ]3 U" a- q! w2 ~
Weighted sum of square, 加权平方和
; {; g; a7 `2 e% i7 e. S9 IWeighting coefficient, 权重系数
( X3 n& N5 K2 v5 Z0 D. e8 }& W6 n% HWeighting method, 加权法
0 w6 y9 e* Z! N/ s$ aW-estimation, W估计量
7 Q. s! U$ E2 d" q1 nW-estimation of location, 位置W估计量
: V( i* z* d8 V% n) J2 KWidth, 宽度6 ?# J& g! @6 N6 L% S
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
% p& m/ g$ T* {0 a! eWild point, 野点/狂点$ K0 n9 L& H# p
Wild value, 野值/狂值2 U/ S ?5 z1 O$ g
Winsorized mean, 缩尾均值
) J. l* C' Y, ~% Q N' {' ^Withdraw, 失访
1 B1 S9 m7 i( |Youden's index, 尤登指数4 P9 K, k4 d0 Y: t) R# M
Z test, Z检验
$ E# g. g: ~8 V/ M3 P; JZero correlation, 零相关( E1 T6 X" G' I, R/ R# |" {6 l
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
